• DocumentCode
    3316861
  • Title

    Subjective and Objective Watermark Detection using a Novel Approach - Bar-code Watermarking

  • Author

    Potdar, Vidyasagar ; Han, Song ; Chang, Elizabeth ; Wu, Chen

  • Author_Institution
    Digital Ecosystems & Bus. Intelligence Inst., Curtin Univ. of Technol., Perth, WA
  • Volume
    2
  • fYear
    2006
  • fDate
    3-6 Nov. 2006
  • Firstpage
    1203
  • Lastpage
    1208
  • Abstract
    Many digital watermarking algorithms are proposed in the literature. Broadly these watermarking algorithms can be classified into two main categories. The first category of algorithms uses a pseudo random Gaussian sequence (PRGS) watermark whereas the second category of algorithms uses a binary logo as a watermark. The main advantage of PRGS based watermarking scheme is its ability to detect the presence of watermark without manual intervention. However the main drawback is calculating reliable threshold value. In the similar manner the main advantage of binary logo watermark is that there is no need to calculate threshold value but requires manual intervention to detect the presence of watermark. The advantage and disadvantage of either approach is quite clear hence it would be a good idea to design a watermarking scheme which inherits the advantages from both these approaches. In this paper we present one such approach which is termed as bar-code watermarking. The proposed scheme offers objective as well as subjective detection. A PRGS sequence watermark is represented as a bar-code on a binary logo and embedded in the host image. Watermark detection can be either done subjectively or objectively
  • Keywords
    Gaussian processes; watermarking; bar-code watermarking; binary logo watermark; digital watermarking; objective watermark detection; pseudo random Gaussian sequence watermark; subjective watermark detection; Australia; Ecosystems; IP networks; Inspection; Peer to peer computing; Quantization; Resists; Robustness; Testing; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.295246
  • Filename
    4076152